{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Developing with iNNvestigate"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this notebook we present the API behind **iNNvestigate** and show you how to develop your own analysis algorithms! If you haven't done so you should read the notebook [Analyzing with iNNvestigate](introduction.ipynb) first.\n",
    "\n",
    "The main functionallity of **iNNvestigate's** API is to abstract the tedious, custom backward propagation of (many) analysis algorithms. This should help researchers to focus on algorithm development. In this notebook we will first introduce the concepts behind the API and then show with various examples how one can realize analysis algorithms with **iNNvestigate**.\n",
    "\n",
    "## Concepts\n",
    "\n",
    "### Computational graphs\n",
    "\n",
    "We assume that the reader is familiar with the main concepts of neural networks like forward and backward propagation.\n",
    "In many computational frameworks the forward pass along the layers of a neural network is realized with the concept of a computational graph.\n",
    "\n",
    "Such graph typically contain two types of nodes: tensors and operations. An operation node takes incoming edges from its input tensors and has outgoing edges towards its output tensors. Tensors are never directly connected with tensors and operations are never directly connected with operations.\n",
    "\n",
    "Depending on the granularity one can encode the operations in a neural network in various ways. In this library we follow and make intensive use of the conecpt of a [\"layer node\"](https://keras.io/getting-started/functional-api-guide/#the-concept-of-layer-node) in the Keras documentation. It is important to understand this concept to follow the rest of this notebook!\n",
    "\n",
    "#### Why Keras?\n",
    "\n",
    "There are several choices for deep learning frameworks. We chose Keras as base because it offers a high level interface and convention to approach to neural network models. While, for example, in Tensorflow, MxNet, or PyTorch one can implement a ReLU-activation function in many ways, in Keras it is typically realized with the `keras.activations.relu` function. Relying on such conventions and limiting our library to built-in Keras layers allows to offer better usability: the user can simply pass a Keras model and the library will take care of the rest.\n",
    "\n",
    "### Backward propagation\n",
    "\n",
    "Many predicition analysis methods are realized by a (custom) backward propagation from the output neuron to the input.\n",
    "The basic principle behind these methods is the same as for the gradient backward propagation, which uses the chain-rule to propagate gradients backward. This means that in order to compute the gradient (or any such analysis) one creates a computational graph that maps the output back to the input (and any intermediate tensor).\n",
    "\n",
    "In **iNNvestigate** this backward mapping is done in the background. The developer only needs to specify how a \"layer node\" should be \"reverted\" or the backward pass at a node should be done, while the tedious handling of the whole graph is done by the library.\n",
    "\n",
    "In more detail, to create a custom backward pass one needs to specify:\n",
    "\n",
    "* how the backpropagation should be initialized.\n",
    "  * E.g., the gradient backward propagation is initialized by starting with a 1, while Deconvnet starts with the function value at the output neuron.\n",
    "* how each layer should be reverted.\n",
    "  * E.g., to compute the gradient one would apply the chain rule.\n",
    "  \n",
    "The API will take care of storing intermediate tensors, the backward pass is done in the right order, Keras specifics and more.\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Preparation\n",
    "\n",
    "-----\n",
    "\n",
    "**To use this notebook please download the example images using the following script:**\n",
    "\n",
    "`innvestigate/examples/images/wget_imagenet_2011_samples.sh`\n",
    "\n",
    "-----\n",
    "\n",
    "To show you hands-on how to use **iNNvestigate** we now import all needed modules and load a VGG16 model:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.simplefilter('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline  \n",
    "\n",
    "import imp\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plot\n",
    "import os\n",
    "\n",
    "import keras\n",
    "import keras.backend\n",
    "import keras.layers\n",
    "import keras.models\n",
    "\n",
    "import innvestigate\n",
    "import innvestigate.applications.imagenet\n",
    "import innvestigate.layers as ilayers\n",
    "import innvestigate.utils as iutils\n",
    "import innvestigate.utils.keras as kutils\n",
    "import innvestigate.utils.keras.checks as kchecks\n",
    "import innvestigate.utils.keras.graph as kgraph\n",
    "\n",
    "# Use utility libraries to focus on relevant iNNvestigate routines.\n",
    "eutils = imp.load_source(\"utils\", \"../utils.py\")\n",
    "imgnetutils = imp.load_source(\"utils_imagenet\", \"../utils_imagenet.py\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load the model definition.\n",
    "tmp = getattr(innvestigate.applications.imagenet, os.environ.get(\"NETWORKNAME\", \"vgg16\"))\n",
    "net = tmp(load_weights=True, load_patterns=\"relu\")\n",
    "\n",
    "# Build the model.\n",
    "model = keras.models.Model(inputs=net[\"in\"], outputs=net[\"sm_out\"])\n",
    "model.compile(optimizer=\"adam\", loss=\"categorical_crossentropy\")\n",
    "\n",
    "# Handle input depending on model and backend.\n",
    "channels_first = keras.backend.image_data_format() == \"channels_first\"\n",
    "if channels_first:\n",
    "    channel_axis = 1\n",
    "else:\n",
    "    channel_axis = 3\n",
    "color_conversion = \"BGRtoRGB\" if net[\"color_coding\"] == \"BGR\" else None"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We want to analyze the pre-softmax activations:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create model without trailing softmax\n",
    "model_wo_sm = iutils.keras.graph.model_wo_softmax(model)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, we load also some sample images:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7feeb0ea6470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Get some example test set images.\n",
    "images, label_to_class_name = eutils.get_imagenet_data(net[\"image_shape\"][0])\n",
    "\n",
    "if not len(images):\n",
    "    raise Exception(\"Please download the example images using: \"\n",
    "                    \"'innvestigate/examples/images/wget_imagenet_2011_samples.sh'\")\n",
    "\n",
    "# Choose a sample image and add batch axis\n",
    "image = images[0][0][None, :, :, :]\n",
    "# Preprocess it for VGG16\n",
    "image_pp = imgnetutils.preprocess(image, net)\n",
    "# Displaying the image\n",
    "plot.imshow(image[0]/255)\n",
    "plot.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Functionallity\n",
    "\n",
    "Now let's start! First we will introduce the main interfaces and then how the concepts above are realized. In the end we show some useful routines for developing algorithms.\n",
    "\n",
    "### Bascis\n",
    "\n",
    "#### Interfaces\n",
    "\n",
    "The basic, abstract interface of an analyzer is given by:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "class AnalyzerBase(object):\n",
    "    \"\"\" The basic interface of an iNNvestigate analyzer.                                                                                                                             \n",
    "                                                                                                                                                                                     \n",
    "    This class defines the basic interface for analyzers:                                                                                                                            \n",
    "    >>> model = create_keras_model()                                                                                                                                                 \n",
    "    >>> a = Analyzer(model)                                                                                                                                                          \n",
    "    >>> a.fit(X_train)  # If analyzer needs training.                                                                                                                                \n",
    "    >>> analysis = a.analyze(X_test)                                                                                                                                                 \n",
    "    >>>                                                                                                                                                                              \n",
    "    >>> state = a.save()                                                                                                                                                             \n",
    "    >>> a_new = A.load(*state)                                                                                                                                                       \n",
    "    >>> analysis = a_new.analyze(X_test)                                                                                                                                             \n",
    "                                                                                                                                                                                     \n",
    "    :param model: A Keras model.                                                                                                                                                     \n",
    "    :param disable_model_checks: Do not execute model checks that enforce                                                                                                            \n",
    "      compatibility of analyzer and model.                                                                                                                                           \n",
    "                                                                                                                                                                                     \n",
    "    .. note:: To develop a new analyzer derive from                                                                                                                                  \n",
    "      :class:`AnalyzerNetworkBase`.                                                                                                                                                  \n",
    "    \"\"\"\n",
    "\n",
    "    def __init__(self, model, disable_model_checks=False):\n",
    "        pass\n",
    "    \n",
    "    def fit(self, *args, **kwargs):\n",
    "        \"\"\"\n",
    "        Train analyzer like a Keras model.\n",
    "        Does not need to be implemented.\n",
    "        \"\"\"\n",
    "        pass\n",
    "\n",
    "    def fit_generator(self, *args, **kwargs):\n",
    "        \"\"\"\n",
    "        Train analyzer like a Keras model.\n",
    "        Does not need to be implemented.\n",
    "        \"\"\"\n",
    "        pass\n",
    "\n",
    "    def analyze(self, X):\n",
    "        \"\"\"                                                                                                                                                                          \n",
    "        Analyze the behavior of model on input `X`.                                                                                                                                  \n",
    "                                                                                                                                                                                     \n",
    "        :param X: Input as expected by model.                                                                                                                                        \n",
    "        \"\"\"\n",
    "        raise NotImplementedError()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This class contains some basic functionallity like storing the model and, if needed, checking if the passed model is compatible with the analysis algorithm (more on that in the section \"Additional\").\n",
    "\n",
    "To implement a custom analyzer one can derive from the `AnalyzerNetworkBase` class and implement the function `_create_analysis`. This function takes a model and should build an analysis network that maps the model outputs back to the model inputs:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "class AnalyzerNetworkBase(AnalyzerBase):\n",
    "    \"\"\"Convenience interface for analyzers.                                                                                                                                          \n",
    "                                                                                                                                                                                     \n",
    "    This class provides helpful functionality to create analyzer's.                                                                                                                  \n",
    "    Basically it:                                                                                                                                                                    \n",
    "                                                                                                                                                                                     \n",
    "    * takes the input model and adds a layer that selects                                                                                                                            \n",
    "      the desired output neuron to analyze.                                                                                                                                          \n",
    "    * passes the new model to :func:`_create_analysis` which should                                                                                                                  \n",
    "      return the analysis as Keras tensors.                                                                                                                                          \n",
    "    * compiles the function and serves the output to :func:`analyze` calls.                                                                                                          \n",
    "    * allows :func:`_create_analysis` to return tensors                                                                                                                              \n",
    "      that are intercept for debugging purposes.                                                                                                                                     \n",
    "                                                                                                                                                                                     \n",
    "    :param neuron_selection_mode: How to select the neuron to analyze.                                                                                                               \n",
    "      Possible values are 'max_activation', 'index' for the neuron                                                                                                                   \n",
    "      (expects indices at :func:`analyze` calls), 'all' take all neurons.                                                                                                            \n",
    "    :param allow_lambda_layers: Allow the model to contain lambda layers.                                                                                                            \n",
    "    \"\"\"\n",
    "\n",
    "    def _create_analysis(self, model, stop_analysis_at_tensors=[]):\n",
    "        \"\"\"                                                                                                                                                                          \n",
    "        Interface that needs to be implemented by a derived class.                                                                                                                   \n",
    "                                                                                                                                                                                     \n",
    "        This function is expected to create a Keras graph that creates                                                                                                               \n",
    "        a custom analysis for the model inputs given the model outputs.                                                                                                              \n",
    "                                                                                                                                                                                     \n",
    "        :param model: Target of analysis.                                                                                                                                            \n",
    "        :param stop_analysis_at_tensors: A list of tensors where to stop the                                                                                                         \n",
    "          analysis. Similar to stop_gradient arguments when computing the                                                                                                            \n",
    "          gradient of a graph.                                                                                                                                                       \n",
    "        :return: Either one-, two- or three-tuple of lists of tensors.                                                                                                               \n",
    "          * The first list of tensors represents the analysis for each                                                                                                               \n",
    "            model input tensor. Tensors present in stop_analysis_at_tensors                                                                                                          \n",
    "            should be omitted.                                                                                                                                                       \n",
    "          * The second list, if present, is a list of debug tensors that will                                                                                                        \n",
    "            be passed to :function:`_handle_debug_output` after the analysis                                                                                                         \n",
    "            is executed.                                                                                                                                                             \n",
    "          * The third list, if present, is a list of constant input tensors                                                                                                          \n",
    "            added to the analysis model.                                                                                                                                             \n",
    "        \"\"\"\n",
    "        raise NotImplementedError()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The function should return for each input of the model an analysis tensor. *The tensors should be created by using Keras layers,* because the analysis tensors will be used to create a Keras model.\n",
    "\n",
    "This class also takes care of selecting the right output neuron.\n",
    "For more details see the class docstring."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### ReverseAnalyzerBase\n",
    "\n",
    "The scope of the classes above is merely to provide a common interface. A more advanced and practical starting point for an implementation is given with the class `ReveseAnalyzerBase`.\n",
    "\n",
    "This class already implements the function `_create_analysis`. In this case the function executes a backward pass, which is done as described in the section \"Backward propagation\" above.\n",
    "\n",
    "To use this class one can implement the two methods `_head_mapping` and `_default_reverse_mapping` to initialize the backward pass and define a default reverse mapping:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "class ReverseAnalyzerBase(AnalyzerNetworkBase):\n",
    "    \"\"\"Convenience class for analyzers that revert the model's structure.                                                                                                            \n",
    "                                                                                                                                                                                     \n",
    "    This class contains many helper functions around the graph                                                                                                                       \n",
    "    reverse function :func:`innvestigate.utils.keras.graph.reverse_model`.                                                                                                           \n",
    "                                                                                                                                                                                     \n",
    "    The deriving classes should specify how the graph should be reverted                                                                                                             \n",
    "    by implementing the following functions:                                                                                                                                         \n",
    "                                                                                                                                                                                     \n",
    "    * :func:`_reverse_mapping(layer)` given a layer this function                                                                                                                    \n",
    "      returns a reverse mapping for the layer as specified in                                                                                                                        \n",
    "      :func:`innvestigate.utils.keras.graph.reverse_model` or None.                                                                                                                  \n",
    "                                                                                                                                                                                     \n",
    "      This function can be implemented, but it is encouraged to                                                                                                                      \n",
    "      implement a default mapping and add additional changes with                                                                                                                    \n",
    "      the function :func:`_add_conditional_reverse_mapping` (see below).                                                                                                             \n",
    "      * The default behavior is find a conditional mapping (see below),                                                                                                              \n",
    "        if none is found, :func:`_default_reverse_mapping` is applied.                                                                                                               \n",
    "    * :func:`_default_reverse_mapping` defines the default                                                                                                                           \n",
    "      reverse mapping.                                                                                                                                                               \n",
    "    * :func:`_head_mapping` defines how the outputs of the model                                                                                                                     \n",
    "      should be instantiated before the are passed to the reversed                                                                                                                   \n",
    "      network.                                                                                                                                                                       \n",
    "                                                                                                                                                                                     \n",
    "    Furthermore other parameters of the function                                                                                                                                     \n",
    "    :func:`innvestigate.utils.keras.graph.reverse_model` can                                                                                                                         \n",
    "    be changed by setting the according parameters of the                                                                                                                            \n",
    "    init function:\n",
    "    \n",
    "    ...                                                                                                                       \n",
    "    \"\"\"\n",
    "\n",
    "    def _reverse_mapping(self, layer):\n",
    "        \"\"\"                                                                                                                                                                          \n",
    "        This function should return a reverse mapping for the passed layer.                                                                                                          \n",
    "                                                                                                                                                                                     \n",
    "        If this function returns None, :func:`_default_reverse_mapping`                                                                                                              \n",
    "        is applied.                                                                                                                                                                  \n",
    "                                                                                                                                                                                     \n",
    "        :param layer: The layer for which a mapping should be returned.                                                                                                              \n",
    "        :return: The mapping can be of the following forms:                                                                                                                          \n",
    "          * A function of form (A) f(Xs, Ys, reversed_Ys, reverse_state)                                                                                                             \n",
    "            that maps reversed_Ys to reversed_Xs (which should contain                                                                                                               \n",
    "            tensors of the same shape and type).                                                                                                                                     \n",
    "          * A function of form f(B) f(layer, reverse_state) that returns                                                                                                             \n",
    "            a function of form (A).                                                                                                                                                  \n",
    "          * A :class:`ReverseMappingBase` subclass.                                                                                                                                  \n",
    "        \"\"\"\n",
    "        pass\n",
    "    \n",
    "    def _default_reverse_mapping(self, Xs, Ys, reversed_Ys, reverse_state):\n",
    "        \"\"\"                                                                                                                                                                          \n",
    "        Fallback function to map reversed_Ys to reversed_Xs                                                                                                                          \n",
    "        (which should contain tensors of the same shape and type).                                                                                                                   \n",
    "        \"\"\"\n",
    "        pass\n",
    "\n",
    "    def _head_mapping(self, X):\n",
    "        \"\"\"                                                                                                                                                                          \n",
    "        Map output tensors to new values before passing                                                                                                                              \n",
    "        them into the reverted network.                                                                                                                                              \n",
    "        \"\"\"\n",
    "        pass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Many analysis methods apply different propagation algorithms depending on the layer type. This is reflected by this interface:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "class ReverseAnalyzerBase(AnalyzerNetworkBase):\n",
    "\n",
    "    def _add_conditional_reverse_mapping(self, condition, mapping, priority=-1, name=None):\n",
    "        \"\"\"                                                                                                                                                                          \n",
    "        This function should return a reverse mapping for the passed layer.                                                                                                          \n",
    "                                                                                                                                                                                     \n",
    "        If this function returns None, :func:`_default_reverse_mapping`                                                                                                              \n",
    "        is applied.                                                                                                                                                                  \n",
    "                                                                                                                                                                                     \n",
    "        :param condition: Condition when this mapping should be applied.                                                                                                             \n",
    "          Form: f(layer) -> bool                                                                                                                                                     \n",
    "        :param mapping: The mapping can be of the following forms:                                                                                                                   \n",
    "          * A function of form (A) f(Xs, Ys, reversed_Ys, reverse_state)                                                                                                             \n",
    "            that maps reversed_Ys to reversed_Xs (which should contain                                                                                                               \n",
    "            tensors of the same shape and type).                                                                                                                                     \n",
    "          * A function of form f(B) f(layer, reverse_state) that returns                                                                                                             \n",
    "            a function of form (A).                                                                                                                                                  \n",
    "          * A :class:`ReverseMappingBase` subclass.                                                                                                                                  \n",
    "        :param priority: The higher the earlier the condition gets                                                                                                                   \n",
    "          evaluated.                                                                                                                                                                 \n",
    "        :param name: An identifying name.                                                                                                                                            \n",
    "        \"\"\" \n",
    "        pass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`ReverseAnalyzerBase` will first try to match a registered, conditional mapping and, if none applies, fall back to `default_reverse_mapping`.\n",
    "\n",
    "In the rest of the tutorial we will show how to use this base class."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Reimport the actual class\n",
    "from innvestigate.analyzer.base import ReverseAnalyzerBase"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Default backward pass\n",
    "\n",
    "The API will package the created backward pass in a Keras model and therefore each propagation step needs to be created by Keras layers. In this first example we implement the gradient for a model solely composed of dense, linear layers:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Example1(ReverseAnalyzerBase):\n",
    "    def _default_reverse_mapping(self, Xs, Ys, reversed_Ys, reverse_state):\n",
    "        # Create dense layer that applies the transpose of the forward pass\n",
    "        layer = reverse_state[\"layer\"]\n",
    "        weight = layer.get_weights()[0]\n",
    "        dense_transposed = keras.layers.Dense(weight.shape[0])\n",
    "        dense_transposed.set_weights([weight.T])\n",
    "\n",
    "        # Apply the layer\n",
    "        reversed_Xs = dense_transposed(reversed_Ys)\n",
    "        return reversed_Xs\n",
    "\n",
    "    def _head_mapping(self, X):\n",
    "        \"\"\"                                                                                                                                                                          \n",
    "        Initialize the mapping with ones.                                                                                                                                              \n",
    "        \"\"\"\n",
    "        return ilayer.OnesLike()(X)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This shows to basic idea of the propagation step. Now, to implement a full gradient backward propagation, we will rely on the chain rule and automatic differentiation. This makes the code cleaner and allows to treat different layers with one code fragement, e.g., in this case dense and convolutional layers:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Example2(ReverseAnalyzerBase):\n",
    "    def _default_reverse_mapping(self, Xs, Ys, reversed_Ys, reverse_state):\n",
    "        # Create a layer that takes len(Xs) inputs and creates backward mapping\n",
    "        # by applying the chain rule\n",
    "        gradient = ilayers.GradientWRT(len(Xs))\n",
    "        # Apply the gradient\n",
    "        # (passing all tensors in one list to stay conform with Keras interface)\n",
    "        reversed_Xs = gradient(Xs+Ys+reversed_Ys)\n",
    "        return reversed_Xs\n",
    "\n",
    "    def _head_mapping(self, X):\n",
    "        \"\"\"                                                                                                                                                                          \n",
    "        Initialize the mapping with ones.                                                                                                                                              \n",
    "        \"\"\"\n",
    "        return ilayers.OnesLike()(X)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And apply it to our VGG16 model:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7feeb0a08b38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "analyzer = Example2(model_wo_sm)\n",
    "a = analyzer.analyze(image_pp)\n",
    "\n",
    "# Postprocess\n",
    "a = imgnetutils.postprocess(a, color_conversion, channels_first)\n",
    "# Displaying the gradient\n",
    "plot.imshow(imgnetutils.heatmap(a)[0])\n",
    "plot.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the next section we will extend this example to implement Guided Backprop!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Conditional changes to the backward pass\n",
    "\n",
    "Guided Backprop applies the same algorithm as gradient backpropagation, except that the propagation is initialized with the final function value instead of ones and that each time a ReLU-activation is applied also on the backward pass a ReLU-activation is applied. This is done to keep the signal in the original value range of the forward pass:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# We extend Example 2 with a conditional mapping\n",
    "class Example3(ReverseAnalyzerBase):\n",
    "    def _default_reverse_mapping(self, Xs, Ys, reversed_Ys, reverse_state):\n",
    "        return ilayers.GradientWRT(len(Xs))(Xs+Ys+reversed_Ys)\n",
    "\n",
    "    def _head_mapping(self, X):\n",
    "        # Keeping the output signal\n",
    "        return X\n",
    "\n",
    "    def guided_backprop_mapping(self, Xs, Ys, reversed_Ys, reverse_state):\n",
    "        activation = keras.layers.Activation(\"relu\")\n",
    "        # Apply relus conditioned on backpropagated values.                                                                                                                              \n",
    "        reversed_Ys = kutils.apply(activation, reversed_Ys)\n",
    "\n",
    "        # Apply gradient of forward pass.                                                                                                                                                \n",
    "        return ilayers.GradientWRT(len(Xs))(Xs+Ys+reversed_Ys)\n",
    "    \n",
    "    def _create_analysis(self, *args, **kwargs):\n",
    "\n",
    "        self._add_conditional_reverse_mapping(\n",
    "            # Apply to all layers that contain a relu activation\n",
    "            lambda layer: kchecks.contains_activation(layer, \"relu\"),\n",
    "            self.guided_backprop_mapping,\n",
    "            name=\"guided_backprop_reverse_relu_layer\",\n",
    "        )\n",
    "\n",
    "        return super(Example3, self)._create_analysis(*args, **kwargs)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And we apply it again to our VGG16 model:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fee8e9dbf28>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "analyzer = Example3(model_wo_sm)\n",
    "a = analyzer.analyze(image_pp)\n",
    "\n",
    "# Postprocess\n",
    "a = imgnetutils.postprocess(a, color_conversion, channels_first)\n",
    "# Displaying the gradient\n",
    "plot.imshow(imgnetutils.bk_proj(a)[0])\n",
    "plot.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Keras layer nodes\n",
    "\n",
    "A Keras \"layer node\" can be applied many times. The above examples revert or back proagate each of these indiviually. In some cases it can be computationally more efficient or even necessary to bundle all the back propagations for a single layer node. This can be done by implementing the interface ``ReverseMappingBase``, which then gets initialized once for each layer node and applied for each backward pass of the layer's applications.\n",
    "\n",
    "We use this to implement LRP-Z for VGG16 (for more complex networks additional steps need to be done):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "class ZRule(kgraph.ReverseMappingBase):\n",
    "    \"\"\"                                                                                                                                                                              \n",
    "    Basic LRP decomposition rule (for layers with weight kernels),                                                                                                                   \n",
    "    which considers the bias a constant input neuron.                                                                                                                                \n",
    "    \"\"\"\n",
    "\n",
    "    def __init__(self, layer, state, bias=True):\n",
    "        # Copy forward layer, but without activations\n",
    "        self._layer_wo_act = kgraph.copy_layer_wo_activation(layer,\n",
    "                                                             keep_bias=bias,\n",
    "                                                             name_template=\"reversed_kernel_%s\")\n",
    "\n",
    "    def apply(self, Xs, Ys, Rs, reverse_state):\n",
    "        grad = ilayers.GradientWRT(len(Xs))\n",
    "\n",
    "        # Get activations.                                                                                                                                                           \n",
    "        Zs = kutils.apply(self._layer_wo_act, Xs)\n",
    "        # Divide incoming relevance by the activations.                                                                                                                              \n",
    "        tmp = [ilayers.SafeDivide()([a, b])\n",
    "               for a, b in zip(Rs, Zs)]\n",
    "        # Propagate the relevance to input neurons                                                                                                                                   \n",
    "        # using the gradient.       \n",
    "        tmp = iutils.to_list(grad(Xs+Zs+tmp))\n",
    "        # Re-weight relevance with the input values.                                                                                                                                 \n",
    "        return [keras.layers.Multiply()([a, b])\n",
    "                for a, b in zip(Xs, tmp)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And create a new analyzer:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "class LRP_Z_for_VGG(ReverseAnalyzerBase):\n",
    "    def _default_reverse_mapping(self, Xs, Ys, reversed_Ys, reverse_state):\n",
    "        return ilayers.GradientWRT(len(Xs))(Xs+Ys+reversed_Ys)\n",
    "\n",
    "    def _head_mapping(self, X):\n",
    "        # Keeping the output signal\n",
    "        return X\n",
    "    \n",
    "    def _create_analysis(self, *args, **kwargs):\n",
    "\n",
    "        self._add_conditional_reverse_mapping(\n",
    "            # Apply to all layers that contain a kernel\n",
    "            lambda layer: kchecks.contains_kernel(layer),\n",
    "            ZRule,\n",
    "            name=\"z_rule\",\n",
    "        )\n",
    "\n",
    "        return super(LRP_Z_for_VGG, self)._create_analysis(*args, **kwargs)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And show the result:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fedc8634a58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "analyzer = LRP_Z_for_VGG(model_wo_sm)\n",
    "a = analyzer.analyze(image_pp)\n",
    "\n",
    "# Postprocess\n",
    "a = imgnetutils.postprocess(a, color_conversion, channels_first)\n",
    "# Displaying the gradient\n",
    "plot.imshow(imgnetutils.heatmap(a)[0])\n",
    "plot.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Additional\n",
    "\n",
    "### Network compatibility\n",
    "\n",
    "Not all methods work on all network structures. E.g., most methods cannot handle softmax outputs, other work only with ReLU activation functions.\n",
    "\n",
    "One can check if a passed model does not confirm with the method's assumption by passing a condition and a message like this:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We should not pass models with a softmax.\n"
     ]
    }
   ],
   "source": [
    "class Example4(Example3):\n",
    "    \n",
    "    def __init__(self, *args, **kwargs):\n",
    "        self._add_model_check(\n",
    "            lambda layer: kchecks.contains_activation(\n",
    "                layer, activation=\"softmax\"),\n",
    "            \"This analysis method does not support softmax layers.\",\n",
    "            check_type=\"exception\",\n",
    "        )\n",
    "        super(Example4, self).__init__(*args, **kwargs)\n",
    "\n",
    "try:\n",
    "    analyzer = Example4(model)\n",
    "except innvestigate.NotAnalyzeableModelException:\n",
    "    print(\"We should not pass models with a softmax.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The condition gets tested on each layer of the network and if it holds the either a warning is printed or an exception raised.\n",
    "\n",
    "The common check for a softmax activation can be done by calling this helper function: `_add_model_softmax_check`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Debug routines\n",
    "\n",
    "To ease the debugging the API provides a few helpful flags.\n",
    "\n",
    "When setting `reverse_verbose` the API will print information about the backward pass:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Reverse model: <keras.engine.training.Model object at 0x7feeb09d11d0>\n",
      "  [NID: 22] Reverse layer-node <innvestigate.layers.Max object at 0x7feeb09d1cc0>\n",
      "  [NID: 21] Reverse layer-node <keras.layers.core.Dense object at 0x7feeb4a57cf8>\n",
      "  [NID: 20] Reverse layer-node <keras.layers.core.Dense object at 0x7feeb4877a90>\n",
      "  [NID: 19] Reverse layer-node <keras.layers.core.Dense object at 0x7feeb48e4048>\n",
      "  [NID: 18] Reverse layer-node <keras.layers.core.Flatten object at 0x7feeb48cb390>\n",
      "  [NID: 17] Reverse layer-node <keras.layers.pooling.MaxPooling2D object at 0x7feeb48cb2e8>\n",
      "  [NID: 16] Reverse layer-node <keras.layers.convolutional.Conv2D object at 0x7feeb48b47f0>\n",
      "  [NID: 15] Reverse layer-node <keras.layers.convolutional.Conv2D object at 0x7feeb4921128>\n",
      "  [NID: 14] Reverse layer-node <keras.layers.convolutional.Conv2D object at 0x7feeb48f5588>\n",
      "  [NID: 13] Reverse layer-node <keras.layers.pooling.MaxPooling2D object at 0x7feeb48f54e0>\n",
      "  [NID: 12] Reverse layer-node <keras.layers.convolutional.Conv2D object at 0x7feeb4960128>\n",
      "  [NID: 11] Reverse layer-node <keras.layers.convolutional.Conv2D object at 0x7feeb494a080>\n",
      "  [NID: 10] Reverse layer-node <keras.layers.convolutional.Conv2D object at 0x7feeb49a07f0>\n",
      "  [NID: 9] Reverse layer-node <keras.layers.pooling.MaxPooling2D object at 0x7feeb49a0390>\n",
      "  [NID: 8] Reverse layer-node <keras.layers.convolutional.Conv2D object at 0x7feeb49853c8>\n",
      "  [NID: 7] Reverse layer-node <keras.layers.convolutional.Conv2D object at 0x7feeb4973208>\n",
      "  [NID: 6] Reverse layer-node <keras.layers.convolutional.Conv2D object at 0x7feeb49c99e8>\n",
      "  [NID: 5] Reverse layer-node <keras.layers.pooling.MaxPooling2D object at 0x7feeb49c90b8>\n",
      "  [NID: 4] Reverse layer-node <keras.layers.convolutional.Conv2D object at 0x7feeb49b4518>\n",
      "  [NID: 3] Reverse layer-node <keras.layers.convolutional.Conv2D object at 0x7feeb4a16080>\n",
      "  [NID: 2] Reverse layer-node <keras.layers.pooling.MaxPooling2D object at 0x7feeb49f8438>\n",
      "  [NID: 1] Reverse layer-node <keras.layers.convolutional.Conv2D object at 0x7feeb49f5f28>\n",
      "  [NID: 0] Reverse layer-node <keras.layers.convolutional.Conv2D object at 0x7feeb4a57b38>\n"
     ]
    }
   ],
   "source": [
    "analyzer = Example3(model_wo_sm, reverse_verbose=True)\n",
    "a = analyzer.analyze(image_pp)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The flag `reverse_check_min_max_values` triggers the printing of min and max values for each tensor created in the backward pass. Note that the NodeID and TensorID corresponds to the values from the verbose print above:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Minimum values in tensors: ((NodeID, TensorID), Value) - [((-1, 0), 9.904351), ((0, 0), -0.04130044), ((1, 0), -0.0024292036), ((2, 0), -0.0015089139), ((3, 0), -0.0015089139), ((4, 0), -0.00061660685), ((5, 0), -0.0005095857), ((6, 0), -0.0005095857), ((7, 0), -0.00042048228), ((8, 0), -0.00034383012), ((9, 0), -0.00048693691), ((10, 0), -0.00048693691), ((11, 0), -0.000591112), ((12, 0), -0.0009448285), ((13, 0), -0.0021638724), ((14, 0), -0.0021638724), ((15, 0), -0.005670463), ((16, 0), -0.008369313), ((17, 0), -0.023861717), ((18, 0), -0.023861717), ((19, 0), -0.023861717), ((20, 0), -0.20670797), ((21, 0), -0.2709677), ((22, 0), 0.0)]\n",
      "Maximum values in tensors: ((NodeID, TensorID), Value) - [((-1, 0), 9.904351), ((0, 0), 0.045511477), ((1, 0), 0.00400433), ((2, 0), 0.0016840106), ((3, 0), 0.0016840106), ((4, 0), 0.0009304078), ((5, 0), 0.0015191344), ((6, 0), 0.0015191344), ((7, 0), 0.0010949146), ((8, 0), 0.0005880959), ((9, 0), 0.0007975213), ((10, 0), 0.0007975213), ((11, 0), 0.0012215592), ((12, 0), 0.0008672295), ((13, 0), 0.002570772), ((14, 0), 0.002570772), ((15, 0), 0.009198056), ((16, 0), 0.0060917553), ((17, 0), 0.054335114), ((18, 0), 0.054335114), ((19, 0), 0.054335114), ((20, 0), 0.12407496), ((21, 0), 0.3324195), ((22, 0), 9.904351)]\n"
     ]
    }
   ],
   "source": [
    "analyzer = Example3(model_wo_sm, reverse_check_min_max_values=True)\n",
    "a = analyzer.analyze(image_pp)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Similarly the flag `reverse_check_finite` checks if all values in backward pass tensors are finite. If not a message will be printed:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "analyzer = Example3(model_wo_sm, reverse_check_finite=True)\n",
    "a = analyzer.analyze(image_pp)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To have full access on the intermediate state of the backward pass one can set the flag `reverse_keep_tensors`, which indicates to store all tensors in a nested dictionaries, where the key for the first level are the NodeIDs and for the second level the TensorIDs:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(NodeID, TensorID) - min - max value\n",
      "(-1, 0) 9.904351 9.904351\n",
      "(0, 0) -0.041300442 0.045511477\n",
      "(1, 0) -0.0024292036 0.00400433\n",
      "(2, 0) -0.0015089139 0.0016840106\n",
      "(3, 0) -0.0015089139 0.0016840106\n",
      "(4, 0) -0.00061660685 0.0009304078\n",
      "(5, 0) -0.0005095857 0.0015191344\n",
      "(6, 0) -0.0005095857 0.0015191344\n",
      "(7, 0) -0.00042048228 0.0010949146\n",
      "(8, 0) -0.00034383012 0.0005880959\n",
      "(9, 0) -0.00048693691 0.0007975213\n",
      "(10, 0) -0.00048693691 0.0007975213\n",
      "(11, 0) -0.000591112 0.0012215592\n",
      "(12, 0) -0.0009448285 0.0008672295\n",
      "(13, 0) -0.0021638724 0.002570772\n",
      "(14, 0) -0.0021638724 0.002570772\n",
      "(15, 0) -0.005670463 0.009198056\n",
      "(16, 0) -0.008369313 0.0060917553\n",
      "(17, 0) -0.023861717 0.054335114\n",
      "(18, 0) -0.023861717 0.054335114\n",
      "(19, 0) -0.023861717 0.054335114\n",
      "(20, 0) -0.20670797 0.12407496\n",
      "(21, 0) -0.2709677 0.3324195\n",
      "(22, 0) 0.0 9.904351\n"
     ]
    }
   ],
   "source": [
    "analyzer = Example3(model_wo_sm, reverse_keep_tensors=True)\n",
    "a = analyzer.analyze(image_pp)\n",
    "\n",
    "print(\"(NodeID, TensorID) - min - max value\")\n",
    "for k, v in analyzer._reversed_tensors:\n",
    "    print(k, np.min(v), np.max(v))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For more flags and details we refer to the classe definition of `ReverseAnalyzerBase`."
   ]
  }
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